Join us for this one day workshop and unlock the potential of AI agents and retrieval-augmented generation (RAG) in chemical science.
This interactive, hands-on workshop is designed to bring together researchers from academia and industry to explore how emerging AI approaches can transform chemical research and innovation. Whether you are new to these technologies or already experimenting with them, this event will provide both practical skills and a collaborative space to shape future applications.
Why attend?
Participants will gain:
- Hands-on experience with RAG models and agentic AI systems, guided by experts
- A practical understanding of real-world challenges when applying these tools to chemistry
- Opportunities to collaborate across disciplines, connecting early-career researchers, academics, and industry professionals
- The chance to co-develop ideas and proposals with clear industrial relevance
Who Should Attend:
This workshop is open to researchers across academia and industry who are interested in applying AI to chemical science.
We particularly encourage:
- PhD students
- Postdoctoral researchers
- Early Career Independent Academic
- Principal Investigators and industry professionals to join strategic discussions shaping future challenges and collaborations
What you’ll gain:
The day combines practical training with collaborative innovation:
- A hands-on RAG workshop, delivered by Data Revival
- A hackathon session focused on building AI agents for chemistry
- A sandpit session for PIs and industry to define challenges, methodologies, and collaborative opportunities
- Structured discussions to develop clear, proposal-ready ideas with defined outcomes and teams
Contact Details
For questions related to this event please contact the AIchemy project management team at info@aichemy.ac.uk
The Organising Committee
| AIchemy Hub | University of Leeds |
| Dr Ben Alston (University of Liverpool) Caroline Woods (University of Liverpool) | Professor Bao Nguyen |